Crypto RSS
Aggregates real-time cryptocurrency news from multiple RSS feeds with keyword filtering and Markdown formatting to help analyze ma
Crypto RSS MCP server by kukapay that aggregates real-time cryptocurrency news from multiple RSS feeds, helping AI agents make informed decisions in fast-paced crypto markets. The implementation provides tools for listing available feeds from a curated OPML file sourced from Chainfeeds, fetching and formatting RSS content as Markdown with HTML-to-text conversion, and filtering feeds by keywords across descriptions and categories. Built with Python using FastMCP, feedparser, and html2text libraries, it includes a prompt template for analyzing feed content to identify market trends and summarize key points, making it valuable for crypto traders, analysts, and AI assistants requiring structured access to cryptocurrency news aggregation and market sentiment analysis.
Source
Repository: https://github.com/kukapay/crypto-rss-mcp
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